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AlphaFold hits ‘next level’: the AI database now includes protein pairing

AlphaFold now predicts protein complexes, including 1.7 million homodimers, expanding the database beyond single proteins.
The project is a collaboration among EMBL-EBI, Google DeepMind, NVIDIA, and researchers across multiple species.
Researchers targeted proteins from 20 studied species, including humans, mice, yeast, and disease-causing bacteria.
AlphaFold’s growth follows its role as a primary tool for discovery since its 2021 release.
The advance addresses how protein complex formation affects function, such as dimerized HIV-1 protease.
The update required intensive computing and a cross-institutional effort.
The database remains freely available to researchers for advancing science and medicine.
The project integrates multiple disciplines to extend AlphaFold’s reach into practical biology and drug discovery.
The new data aim to accelerate understanding of molecular interactions fundamental to life.
The update marks AlphaFold’s evolution toward comprehensive molecular interaction modeling.
Researchers anticipate future releases to broaden complex predictions across more species.

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